yes Charlotte,yes Miami,yes LaMelo Ball: 15+,yes CAR Hurricanes,yes MTL Canadiens,yes EDM Oilers,yes MIN Wild,yes DET Red Wings,yes DAL Stars,yes OTT Senators,yes STL Blues,yes WSH Capitals
| Platform | Yes | No | Volume | Last seen | Link |
|---|---|---|---|---|---|
| Kalshi | — | — | — | 06:52 UTC | View → |
| Kalshi | — | — | — | 06:51 UTC | View → |
| Kalshi | — | — | — | 10:25 UTC | View → |
| Kalshi | — | — | — | 06:52 UTC | View → |
| Kalshi | — | — | — | 17:12 UTC | View → |
| Kalshi | — | — | — | 06:52 UTC | View → |
| Kalshi | — | — | — | 22:12 UTC | View → |
| Kalshi | — | — | — | 14:05 UTC | View → |
| Kalshi | — | — | — | 06:52 UTC | View → |
| Kalshi | — | — | — | 15:20 UTC | View → |
| Kalshi | — | — | — | 17:20 UTC | View → |
| Kalshi | — | — | — | 18:28 UTC | View → |
| Kalshi | — | — | — | 15:14 UTC | View → |
| Kalshi | — | — | — | 13:47 UTC | View → |
| Kalshi | — | — | — | 14:59 UTC | View → |
| Kalshi | — | — | — | 13:47 UTC | View → |
| Kalshi | — | — | — | 15:13 UTC | View → |
| Kalshi | — | — | — | 21:52 UTC | View → |
| Kalshi | — | — | — | 15:24 UTC | View → |
| Kalshi | — | — | — | 21:36 UTC | View → |
| Kalshi | — | — | — | 08:56 UTC | View → |
| Kalshi | — | — | — | 10:34 UTC | View → |
| Kalshi | — | — | — | 23:41 UTC | View → |
| Kalshi | — | — | — | 17:44 UTC | View → |
| Kalshi | — | — | — | 09:04 UTC | View → |
| Kalshi | — | — | — | 20:12 UTC | View → |
| Kalshi | — | — | — | 21:53 UTC | View → |
| Kalshi | — | — | — | 08:28 UTC | View → |
| Kalshi | — | — | — | 06:14 UTC | View → |
What do these odds mean?
Cross-platform data for yes Charlotte,yes Miami,yes LaMelo Ball: 15+,yes CAR Hurricanes,yes MTL Canadiens,yes EDM Oilers,yes MIN Wild,yes DET Red Wings,yes DAL Stars,yes OTT Senators,yes STL Blues,yes WSH Capitals is still being collected.
How to read cross-platform spreads
When two platforms price the same event meaningfully differently, it usually means one of three things: liquidity is thin on one side, fee structures are pushing a spread, or traders on one platform have information the other lacks. Spreads larger than 5 percentage points on events with over $50K in volume often resolve toward the higher-volume platform's price.
About this data
Beeks.ai aggregates prediction market data from Polymarket, Kalshi, and Manifold. Updates run every minute. Consensus probability is a volume-weighted average across all matched markets. Historical snapshots are stored for calibration analysis.
News & context
Your edge calculator
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